thrasibule/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Native Python implementation of AES for 2.7 or 3.x. Run demo.py -u to perform all unit tests. Check out serprex's fork for a *very* highly optimized version of aes_cipher and aes_tables among others.
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Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
R interface to the QuantLib library
Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.
Cython QuantLib wrappers